Running large language models (LLMs) locally is easier than ever, but which tool should you choose? In this guide, we compare Ollama, vLLM, Transformers, and LM Studio—four popular ways to run AI on your own machine. Whether you want the simplicity of a command line, the flexibility of Python, the performance of GPU-optimized serving, or a sleek GUI, this showdown will help you pick the right workflow for your needs.
OpenAI has made a bold move into the open-source community by releasing a new family of models: GPT-OSS. This guide will introduce you to these powerful, open-weight models, their technical specifications, and how you can start running them on your own hardware for agentic workflows and advanced reasoning tasks.
Discover how to create, fine-tune, and deploy powerful LLMs with customized Retrieval-Augmented Generation (RAG) using Ollama. Learn best practices, optimize performance, and integrate RAG for accurate, domain-specific responses.
Learn how to integrate AI-driven image generation into your workflow with Ollama, Stable Diffusion, ComfyUI, and DALL·E. This guide covers setup, benefits, and real-world applications of these powerful tools.